Abstract:Two-dimensional ion mobility spectrometry (IMS-IMS) coupled with mass spectrometry is examined as a means of separating mixtures of tryptic peptides (from myoglobin and hemoglobin). In this study, we utilize two distinct drift regions that are identical in that each contains He buffer gas at 300 K. The two-dimensional advantage is realized by changing the structures of the ions. As ions arrive at the end of the first drift region, those of a specified mobility are selected, exposed to energizing collisions, an… Show more
“…For example, MS calculations for peak capacity are based on methods developed by Frahm et al , which account for instrument resolving powers and isotope redundancy (78) and utilize typical, rather than optimal parameters for each method (79). For IM, peak capacities are obtained from measured values of different techniques where available (80,81,82), or otherwise calculated from reported resolving powers (83,84). For IM coupled to MS (IM-MS), there is a correlation between size and mass, and so IM-MS data in Figure 2 is scaled by a factor of 0.25 (25% unique space occupancy) to reflect this reduced orthogonality, which is based on experiments conducted in the authors’ laboratory.…”
Section: Multidimensional Methods Based On Mass Spectrometrymentioning
Hybrid analytical instrumentation constructed around mass spectrometry (MS) are becoming preferred techniques for addressing many grand challenges in science and medicine. From the omics sciences to drug discovery and synthetic biology, multidimensional separations based on MS provide the high peak capacity and high measurement throughput necessary to obtain large-scale measurements which are used to infer systems-level information. In this review, we describe multidimensional MS configurations as technologies which are big data drivers and discuss some new and emerging strategies for mining information from large-scale datasets. A discussion is included on the information content which can be obtained from individual dimensions, as well as the unique information which can be derived by comparing different levels of data. Finally, we discuss some emerging data visualization strategies which seek to make highly dimensional datasets both accessible and comprehensible.
“…For example, MS calculations for peak capacity are based on methods developed by Frahm et al , which account for instrument resolving powers and isotope redundancy (78) and utilize typical, rather than optimal parameters for each method (79). For IM, peak capacities are obtained from measured values of different techniques where available (80,81,82), or otherwise calculated from reported resolving powers (83,84). For IM coupled to MS (IM-MS), there is a correlation between size and mass, and so IM-MS data in Figure 2 is scaled by a factor of 0.25 (25% unique space occupancy) to reflect this reduced orthogonality, which is based on experiments conducted in the authors’ laboratory.…”
Section: Multidimensional Methods Based On Mass Spectrometrymentioning
Hybrid analytical instrumentation constructed around mass spectrometry (MS) are becoming preferred techniques for addressing many grand challenges in science and medicine. From the omics sciences to drug discovery and synthetic biology, multidimensional separations based on MS provide the high peak capacity and high measurement throughput necessary to obtain large-scale measurements which are used to infer systems-level information. In this review, we describe multidimensional MS configurations as technologies which are big data drivers and discuss some new and emerging strategies for mining information from large-scale datasets. A discussion is included on the information content which can be obtained from individual dimensions, as well as the unique information which can be derived by comparing different levels of data. Finally, we discuss some emerging data visualization strategies which seek to make highly dimensional datasets both accessible and comprehensible.
“…In principle each of these ion mobility devices can be interfaced to a variety of mass spectrometers; TOF analyzers are used most frequently but also combinations with quadrupole and ion trap systems can be found. To extend the possibilities even further an ion mobility cell can be interfaced to other ion mobility cells together with tandem mass spectrometers to produce IMS n -MS m type analyzers [108,109].…”
“…Another possibility for IMS -IMS is that after the first dimension, energizing collisions change the structural transitions, which alters their behaviour in the second IMS drift field. This way, the two IMS separations are more orthogonal [118].…”
MS is currently one of the most important analytical techniques in biological and medical research. ESI and MALDI launched the field of MS into biology. The performance of mass spectrometers increased tremendously over the past decades. Other technological advances increased the analytical power of biological MS even more. First, the advent of the genome projects allowed an automated analysis of mass spectrometric data. Second, improved separation techniques, like nanoscale HPLC, are essential for MS analysis of biomolecules. The recent progress in bioinformatics is the third factor that accelerated the biochemical analysis of macromolecules. The first part of this review will introduce the basics of these techniques. The field that integrates all these techniques to identify endogenous peptides is called peptidomics and will be discussed in the last section. This integrated approach aims at identifying all the present peptides in a cell, organ or organism (the peptidome). Today, peptidomics is used by several fields of research. Special emphasis will be given to the identification of neuropeptides, a class of short proteins that fulfil several important intercellular signalling functions in every animal. MS imaging techniques and biomarker discovery will also be discussed briefly.
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